readme

README.md

@@ -5,14 +5,35 @@ license: apache-2.0
 # What Lies Beneath: A Call for Distribution-based Visual Question & Answer Datasets
 
 Publication: TBD
+GitHub Repo: TBD
 
 This is a histogram-based dataset for visual question and answer (VQA) with humans and large language/multimodal models (LMMs).
 
-Data contains synthetically generated single-panel histograms images, bounding box data for titles, axis and tick labels, and data marks, and VQA question-answer pairs.  The subset of data presented in the paper (`example_hist/` folder) includes both human (two annotators) and LMM (ChatGPT-5-nano) annotations.
+Data contains synthetically generated single-panel histograms images, data used to create histograms, bounding box data for titles, axis and tick labels, and data marks, and VQA question-answer pairs.  The subset of data presented in the paper (`example_hist/` folder) includes both human (two annotators) and LMM (ChatGPT-5-nano) annotations.
+
+See GitHub link for code used to create and parse the following files.
+
+## Directory Structure
 
 Overview of the [directory structure](https://huggingface.co/datasets/ReadingTimeMachine/visual_qa_histograms/tree/main) is as follows:
- * `example_hists/` -- contains img and json for a small (80 images), visually uniform set of histogram data with several questions annotated by both LMMs
- * `example_hists_larger/` -- larger (500 images) dataset of uniform histogram images, bounding boxes, questions and answers
- * `example_hists_complex/` -- largest (100 images) dataset of histograms with a variety of distributions, shapes, colors, etc., and bounding boxes, questions and answers
+ - `example_hists/` -- contains img and json for a small (80 images), visually uniform set of histogram data with several questions annotated by both LMMs
+ - `example_hists_larger/` -- larger (500 images) dataset of uniform histogram images
+ - `example_hists_complex/` -- largest (100 images) dataset of histograms with a variety of distributions, shapes, colors, etc.
+
+Paper-dataset (`example_hists/`) [directory structure](https://huggingface.co/datasets/ReadingTimeMachine/visual_qa_histograms/tree/main/example_hists):
+ - `LLM_outputs/` -- contains outputs from various trials using ChatGPT-5
+ - `imgs/` -- stores all images (also in `imgs.zip` file)
+ - `jsons/` -- stores JSON for bounding boxes, data used to create images, VQA data
+ - `human_and_llm_annotated_data.csv` -- contains two human annotations and two LMM annotations (gpt-5-nano, gpt-5-mini) for a subset of questions
+
+
+## Human and LMM Annotations
+
+
 
+## Citation information
 
+If you use this work please cite:
+```
+TBD
+```